Files
clang-p2996/mlir/lib/Dialect/SCF/Transforms/ParallelLoopTiling.cpp
Alex Zinenko c25b20c0f6 [mlir] NFC: Rename LoopOps dialect to SCF (Structured Control Flow)
This dialect contains various structured control flow operaitons, not only
loops, reflect this in the name. Drop the Ops suffix for consistency with other
dialects.

Note that this only moves the files and changes the C++ namespace from 'loop'
to 'scf'. The visible IR prefix remains the same and will be updated
separately. The conversions will also be updated separately.

Differential Revision: https://reviews.llvm.org/D79578
2020-05-11 15:04:27 +02:00

128 lines
4.8 KiB
C++

//===- ParallelLoopTiling.cpp - Tiles loop.parallel ---------------===//
//
// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
// See https://llvm.org/LICENSE.txt for license information.
// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
//
//===----------------------------------------------------------------------===//
//
// This file implements loop tiling on parallel loops.
//
//===----------------------------------------------------------------------===//
#include "PassDetail.h"
#include "mlir/Dialect/Affine/IR/AffineOps.h"
#include "mlir/Dialect/SCF/Passes.h"
#include "mlir/Dialect/SCF/SCF.h"
#include "mlir/Dialect/SCF/Transforms.h"
#include "mlir/Dialect/StandardOps/IR/Ops.h"
#include "mlir/Transforms/RegionUtils.h"
#include "llvm/Support/CommandLine.h"
using namespace mlir;
using namespace mlir::scf;
/// Tile a parallel loop of the form
/// loop.parallel (%i0, %i1) = (%arg0, %arg1) to (%arg2, %arg3)
/// step (%arg4, %arg5)
///
/// into
/// loop.parallel (%i0, %i1) = (%arg0, %arg1) to (%arg2, %arg3)
/// step (%arg4*tileSize[0],
/// %arg5*tileSize[1])
/// loop.parallel (%j0, %j1) = (0, 0) to (min(tileSize[0], %arg2-%j0)
/// min(tileSize[1], %arg3-%j1))
/// step (%arg4, %arg5)
/// The old loop is replaced with the new one.
void mlir::scf::tileParallelLoop(ParallelOp op, ArrayRef<int64_t> tileSizes) {
OpBuilder b(op);
auto zero = b.create<ConstantIndexOp>(op.getLoc(), 0);
SmallVector<Value, 2> tileSizeConstants;
tileSizeConstants.reserve(op.upperBound().size());
for (size_t i = 0, end = op.upperBound().size(); i != end; ++i) {
if (i < tileSizes.size())
tileSizeConstants.push_back(
b.create<ConstantIndexOp>(op.getLoc(), tileSizes[i]));
else
// Just pick 1 for the remaining dimensions.
tileSizeConstants.push_back(b.create<ConstantIndexOp>(op.getLoc(), 1));
}
// Create the outer loop with adjusted steps.
SmallVector<Value, 2> newSteps;
newSteps.reserve(op.step().size());
for (auto step : llvm::zip(op.step(), tileSizeConstants)) {
newSteps.push_back(
b.create<MulIOp>(op.getLoc(), std::get<0>(step), std::get<1>(step)));
}
auto outerLoop = b.create<ParallelOp>(op.getLoc(), op.lowerBound(),
op.upperBound(), newSteps);
b.setInsertionPointToStart(outerLoop.getBody());
// Compute min(size, dim - offset) to avoid out-of-bounds accesses.
// FIXME: Instead of using min, we want to replicate the tail. This would give
// the inner loop constant bounds for easy vectorization.
auto minMap = AffineMap::get(
/*dimCount=*/3, /*symbolCount=*/0,
{getAffineDimExpr(/*position=*/0, b.getContext()),
getAffineDimExpr(/*position=*/1, b.getContext()) -
getAffineDimExpr(/*position=*/2, b.getContext())},
b.getContext());
// Create the inner loop with adjusted bounds.
SmallVector<Value, 2> newBounds;
newBounds.reserve(op.upperBound().size());
for (auto bounds : llvm::zip(tileSizeConstants, outerLoop.upperBound(),
outerLoop.getInductionVars())) {
newBounds.push_back(b.create<AffineMinOp>(
op.getLoc(), b.getIndexType(), minMap,
ValueRange{std::get<0>(bounds), std::get<1>(bounds),
std::get<2>(bounds)}));
}
auto innerLoop = b.create<ParallelOp>(
op.getLoc(), SmallVector<Value, 2>(newBounds.size(), zero), newBounds,
op.step());
// Steal the body of the old parallel loop and erase it.
innerLoop.region().takeBody(op.region());
op.erase();
}
/// Get a list of most nested parallel loops. Assumes that ParallelOps are only
/// directly nested.
static bool getInnermostNestedLoops(Block *block,
SmallVectorImpl<ParallelOp> &loops) {
bool hasInnerLoop = false;
for (auto parallelOp : block->getOps<ParallelOp>()) {
hasInnerLoop = true;
if (!getInnermostNestedLoops(parallelOp.getBody(), loops))
loops.push_back(parallelOp);
}
return hasInnerLoop;
}
namespace {
struct ParallelLoopTiling
: public LoopParallelLoopTilingBase<ParallelLoopTiling> {
ParallelLoopTiling() = default;
explicit ParallelLoopTiling(ArrayRef<int64_t> tileSizes) {
this->tileSizes = tileSizes;
}
void runOnFunction() override {
SmallVector<ParallelOp, 2> mostNestedParallelOps;
for (Block &block : getFunction()) {
getInnermostNestedLoops(&block, mostNestedParallelOps);
}
for (ParallelOp pLoop : mostNestedParallelOps) {
tileParallelLoop(pLoop, tileSizes);
}
}
};
} // namespace
std::unique_ptr<Pass>
mlir::createParallelLoopTilingPass(ArrayRef<int64_t> tileSizes) {
return std::make_unique<ParallelLoopTiling>(tileSizes);
}